[Building Sakai] Sakai database graphic representation

[Nate Angell]

Mat:

While direct calls to the db may be a worthy approach, I believe a lot
of the most interesting data for learning analytics is already
captured in the Sakai events table and reported by the existing Site
Statistics tool, which can now be deployed in the admin workspace and
report across all sites in an instance.

I wanted to let you know that Marist was recently awarded a Wave 1
Next Generation Learning Challenges grant to explore learning
analytics in Sakai specifically, in partnership with other
institutions and with a goal of exposing learning analytics from Sakai
to external analysis/early warning tools (likely via a web service).
Perhaps your colleague may want to connect with and/or build on that
work, which will be kicking off shortly, and begin in earnest in Fall
2011, when live classes at several institutions will pilot real-time
academic interventions based on learning analytics from Sakai. I'm
copying Marist's Josh Baron on this email as the primary contact of
this NGLC Open Academic Analytics Initiative (OAAI) grant.

In related news, I believe Cambridge is working with some other
institutions to extract/anonymize Sakai data, with a focus more on
analyzing good technology management practices based on real data,
with funding from JISC as I understand it. Copying John Norman as a
first contact on that project.

--
Nate Angell
Sakai Product Manager
rSmart
http://www.rsmart.com
http://twitter.com/xolotl
http://xolotl.org



On Mon, Apr 18, 2011 at 8:13 AM, Mathieu Plourde <mathieu at udel.edu> wrote:
> Hi!
>
> Can anyone point me to a visual output of the Sakai CLE database (relational
> representation)? One of our MIS professors wants to analyze it to determine
> what can be extracted regarding learning analytics for a research paper.
>
> I've checked Confluence, but I'm not as familiar with the developers' corner
> of it.
>
> Mathieu
> ==================================
> Mathieu Plourde, MBA
> Project Leader, LMS/Educational Technologist
> IT Client Support & Services
> mathieu at udel.edu
> Office: 302-831-4060
> ==================================
> IT Support Center: http://www.udel.edu/help
> Sakai at UD Support and Training: http://www.udel.edu/sakai/training
>
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